Age distribution

No trace type specified:
  Based on info supplied, a 'histogram' trace seems appropriate.
  Read more about this trace type -> https://plotly.com/r/reference/#histogram
Ignoring 18 observationsNo trace type specified:
  Based on info supplied, a 'histogram' trace seems appropriate.
  Read more about this trace type -> https://plotly.com/r/reference/#histogram
Ignoring 18 observations
# IDV: Satisfaction with democracy, DV: symp_fpoe
cross_den <- ggplot(df, aes(y=groupsInvolved.civsoc., x=transdisciplinaryExp.rate.)) +
  #geom_point(size=2, shape=23) +
  geom_smooth(method=lm, se=TRUE, fullrange=TRUE, color='#e7298a'
              )+
  geom_jitter(color='#377eb8')+
  theme_minimal() +
  #scale_x_continuous(breaks = seq(1,20,1)) + 
  geom_point(color='#377eb8')+
  #scale_shape_manual(values=c(3, 16, 17))+ 
  # scale_color_manual('#56B4E9')+
  theme(legend.position="top")
##+ 
  #geom_color(label=coalitions$age < 35)
  ## labs(
    #title="Relationship between ideological placement and preference for ÖVP-ÖFP coalition",
    ##)
cross_den


unique(df$How.old.are.you.)
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